InPhyT/Plant_Disease_Classification_CNN
Dataset Analysis and CNN Models Optimization for Plant Disease Classification.
This project helps agricultural professionals identify apple tree diseases quickly and accurately. By analyzing images of apple leaves, it classifies them as healthy, rust, scab, or multiple diseases. This tool is designed for farmers, agronomists, and crop consultants who need to make timely decisions about plant health.
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Use this if you need to automate and improve the accuracy of identifying common apple tree foliar diseases from leaf images.
Not ideal if you are looking for a tool to diagnose diseases on crops other than apple trees or to detect novel symptoms not covered by its training.
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9
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Language
HTML
License
MIT
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Last pushed
Sep 08, 2022
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